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1 Ergebnisse
1
Condition monitoring and anomaly detection of wind turbine ..:
Xiang, Ling
;
Yang, Xin
;
Hu, Aijun
..
Applied Energy. 305 (2022) - p. 117925 , 2022
Link:
https://doi.org/10.1016/j.apenergy.2021.117925
RT Journal T1
Condition monitoring and anomaly detection of wind turbine based on cascaded and bidirectional deep learning networks
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.apenergy.2021.117925&Exemplar=1&LAN=DE A1 Xiang, Ling A1 Yang, Xin A1 Hu, Aijun A1 Su, Hao A1 Wang, Penghe PB Elsevier BV YR 2022 SN 0306-2619 JF Applied Energy VO 305 SP 117925 LK http://dx.doi.org/https://doi.org/10.1016/j.apenergy.2021.117925 DO https://doi.org/10.1016/j.apenergy.2021.117925 SF ELIB - SuUB Bremen
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